Application of data mining techniques and logistic regression to model drug use transition to injection: a case study in drug use treatment centers in Kermanshah Province, Iran

Application of data mining techniques and logistic regression to model drug use transition to injection: a case study in drug use treatment centers in Kermanshah Province, Iran

Abstract Background Drug injection has been increasing over the past decades all over the world. Hepatitis B and C viruses (HBV and HCV) are two common infections among people who inject drugs (PWID) and more than 60% of new human immunodeficiency virus (HIV) cases are PWID. Thus, investigating risk...

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Bibliographic Details
Main Authors: Somayeh Najafi-Ghobadi, Khadijeh Najafi-Ghobadi, Lily Tapak, Abbas Aghaei
Format: Article
Language:English
Published: BMC 2019-12-01
Series:Substance Abuse Treatment, Prevention, and Policy
Subjects:
Drug injection
Neural network
Decision tree
Support vector machine
Logistic regression
Online Access:https://doi.org/10.1186/s13011-019-0242-1

Internet

https://doi.org/10.1186/s13011-019-0242-1

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